ptyrad-1.0.0stuff

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# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2

EAPI=8

DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..14} )
DISTUTILS_SINGLE_IMPL=1

inherit distutils-r1

DESCRIPTION="Ptychographic Reconstruction with Automatic Differentiation"
HOMEPAGE="
	https://github.com/chiahao3/ptyrad
	https://pypi.org/project/ptyrad/
"
# The PyPI sdist ships no tests; use the GitHub release archive so the
# tests/ tree is present for src_test.
SRC_URI="
	https://github.com/chiahao3/ptyrad/archive/refs/tags/v${PV}.tar.gz
		-> ${P}.gh.tar.gz
"

LICENSE="LGPL-3"
SLOT="0"
KEYWORDS="~amd64"
IUSE="examples"

# pytorch, torchvision and accelerate are themselves DISTUTILS_SINGLE_IMPL,
# so they take ${PYTHON_SINGLE_USEDEP}; the rest are ordinary multi-impl
# modules. numpy is imported directly throughout ptyrad but is absent from
# upstream's pyproject (it rides in transitively via torch) -- declare it.
# jupyter is pulled only to *run* the bundled starter notebooks; no ptyrad
# module imports it, so it is gated behind USE=examples.
RDEPEND="
	>=sci-ml/pytorch-2.4[${PYTHON_SINGLE_USEDEP}]
	sci-ml/torchvision[${PYTHON_SINGLE_USEDEP}]
	sci-ml/accelerate[${PYTHON_SINGLE_USEDEP}]
	$(python_gen_cond_dep '
		dev-python/h5py[${PYTHON_USEDEP}]
		dev-python/matplotlib[${PYTHON_USEDEP}]
		dev-python/numpy[${PYTHON_USEDEP}]
		dev-python/optuna[${PYTHON_USEDEP}]
		dev-python/pydantic[${PYTHON_USEDEP}]
		dev-python/pyyaml[${PYTHON_USEDEP}]
		dev-python/scikit-learn[${PYTHON_USEDEP}]
		dev-python/scipy[${PYTHON_USEDEP}]
		dev-python/tifffile[${PYTHON_USEDEP}]
		dev-python/zarr[${PYTHON_USEDEP}]
	')
	examples? (
		$(python_gen_cond_dep '
			dev-python/jupyter[${PYTHON_USEDEP}]
		')
	)
"

# The suite is plain pytest (tmp_path, parametrize, raises, subprocess) with
# no third-party plugins.
EPYTEST_PLUGINS=()
distutils_enable_tests pytest